Public Ballots May Be Changing Award Voting Behavior

My office was recently planning an offsite social event. During a team meeting, we brainstormed what activity to do together. Along with ideas like mini golf, hiking, and wine tasting, someone suggested karaoke. The team initially responded positively, so when everyone turned to me, I said “sure, that sounds fun”. Then someone put the options in a Google Form for us to all vote on privately. I opened it at my desk and immediately voted for karaoke dead last. I didn’t want to be a downer in public, but there was no way I was doing karaoke.

Being in public changes our behavior. It’s a natural trait and totally understandable. What’s interesting is understanding when and how it changes, and the NHL awards voting may have given us an opportunity to do just that. For the 2017-2018 season, the Professional Hockey Writers Association (PHWA) made their individual voter ballots public for the first time, and it appears that this may have affected how some writers voted.

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The 2018 NHL Trade Value Rankings

Most years, the NHL trade deadline is basically the equivalent of an annual Y2K party: Much Ado About Nothing. The issue comes from the underlying inertia the permeates most of the league’s landscape.

The best players almost never switch teams in their prime (Seriously, who was the last top 10 player to leave their current team? Marian Hossa?)

Even when a trade does get made, there’s often no rhyme or reason to how it plays out. Sometimes you trade your team’s top disgruntled forward and get Seth Jones. Sometimes you get Adam Larsson.

So, to give the league’s decision makers a little kick in the butt, I’ve put together a trade model that identifies the trade value of every regular NHL player and determines what would be a fair return in a trade.

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25 Games In, What Does the Corsi Say?

Happy Max Corsi Productivity Day! We’ve reached the point in the season where Corsi best predicts future winning percentage. There’s plenty of more advanced ways to better predict how the rest of the season will go, but Corsi offers a simple baseline in a way that helps explain why it is so important.  I’ll first explain what that means and why it matters, then take a look at how we can use it to predict basic shifts in the standings for the rest of the NHL season.

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Practical Concerns: Garret Sparks, Emotions & My New Favorite Hockey Movie

Garret Sparks of the Toronto Maple Leafs made history in his NHL debut after being drafted in the 7th round and working his way up from the ECHL. By all accounts, he did it on merit by maintaining a .924sv% since turning pro, including playing for .940 in the past two years in the minors.

He’s earned his big break, but in a way he is lucky to be playing for an organization which values performance and statistical trends as much as the Leafs. I’m not sure his story would have unfolded quite this way had he been born a couple of years earlier, or had he belonged to team which only tries out a young goalie if he’s over 6’5″. But we’ll get back to that.

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NHL Stanley Cup Finals Prediction: Fighting the Coin

File:Épreuve de 5 cents en laiton du Canada représentant George VI.jpg

Image by “cgb.fr” via Wikimedia Commons

Unfortunately, size couldn’t work forever…the Ducks’ failure to advance to the Stanley Cup Finals realized the 30% chance that none of our brackets correctly picked both series winners last round. My only conclusion is we don’t know anything about hockey.

In a related story, SAP bricked one of their picks as well, so the Finals will ultimately determine if their “85% accurate model” manages to do better than a coin flip this year (as of right now, they are 8 for 14). Let’s see how truculence, size, and experience did last round, where they stand for the playoffs, and which one of them will accurately predict who wins the Cup.

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Sunday Quick Graph: Distribution of EA NHL Player Overall Ratings, from NHLPA Hockey ’93 to NHL 05

Out of curiosity, and having access to some of the data, I decided I could chart the distribution of player overall ratings in the EA NHL series in its first decade of existence (the first of the series and NHL 99 being the exception). Knowing full well that, by 2005, there was a popular gripe that “anybody could get a 70 overall rating,” it seemed like it would be fun to see how we arrived to that point. As you can see, the ’93 version was remarkable in its near-even distribution; most famously, Tampa Lightning defenseman Shawn Chambers received an overall rating of 1. The subsequent games never attempted a similar approach; there were marked divergences for the ’96 and ’04 versions, the latter essentially bringing us to the place where it seems anyone can get a 70 rating. I’d be interested hear your comments suggesting theories and/or evidence why we saw this kind of movement.

At this point I’m inclined to say, as an NHLPA-approved product, it probably wasn’t enjoyable for the players to have low ratings, and thus have that opinion of them reflected to thousands of young fans. More importantly, those fans probably didn’t get much of a kick out of playing with poorer players (playing against them, on the other hand…). I’d also guess that, when you are rating a player’s numerous attributes, it’s hard to end up with a 1 overall unless you had negative values (which they didn’t) or a very low weighting for multiple attributes (which they mostly didn’t).

Why would I even bother looking at this anyway? Well, for two reasons. One, after boxcar statistics (goals, assists, points) and +/-, video game ratings were really the next attempt to derive a publicly-consumed statistic for player talent and value. Whole generations observed, and potentially internalized, the way these games conceptualized important and unimportant elements of the game. Understanding hockey should be as much an understanding of society as it is an understanding of the technical components of the game.

Postscript: I plan on breaking down this data in a more complex fashion in future posts, so stay tuned…

Postscript II: Best theory I’ve seen so far, from Reddit user “DavidPuddy666” — that the inclusion of CHL and other leagues raised this bar. For the most part, though, I recall the international rosters and European leagues following these distributions. In other words, you didn’t have a bunch of sub-50 overalls buried on international rosters. The European leagues were even worse for this; top players in Euro leagues are still rated as if they would be top NHL players. As for the CHL leagues and the AHL, Puddy might have a point — but the AHL didn’t appear till NHL 08, and the CHL leagues till NHL 11. In fact, the international teams theory also has this chronological issue, as only the best international teams make their appearance first in NHL 97, before an additional 16 international teams are added for NHL 98.

2015 NHL Stanley Cup Conference Final Predictions: Maybe…Truculence, Size, & Experience Don’t Matter Much

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Photo by “Resolute” via Wikimedia Commons; altered by author

Another round in the books, so it’s time to re-assess truculence, size, and experience in our Stanley Cup Playoffs predictions and reload for the Conference Finals. SAP had a better-than-coin-flip 2nd round, getting 3 of 4 series right, and you’ll be disappointed to know that that pulls them ahead of our more-celebrated team “virtues.” For those interested after our previous post, Nicholas Emptage over at Puck Prediction nailed the 2nd round and his model improved to 10-2 these playoffs — Bravo.

Let’s see how everything broke down for us…

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How Did Bucci Do? Revisiting John Buccigross’s Alex Ovechkin Goals Projection

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Photo by “Photonerd23” via Wikimedia Commons

In February of the 2009-10 season, John Buccigross of ESPN was spurred by a mailbag question to do a quick thought experiment: does he think Ovechkin could set the all-time goals mark? Gabe Desjardins voiced skepticism of Bucci’s optimistic projection but didn’t offer a counter-projection, presumably because, as he wrote:

Basically, careers are incredibly unpredictable – nobody plays 82 games a year from age 20 to age 40. And players who play at a very high level at a young age tend to not sustain that level of play until they’re 40…So, to answer the reader’s question: I believe that there is presently no significant likelihood that Alex Ovechkin finishes his career with 894 goals. He needs to display an uncommon level of durability for the next decade, and not just lead the league in goal-scoring, but do so by such a wide margin that he scores as much as Gretzky, Hull or Lemieux did in an era with vastly higher offensive levels.

That said, I thought it would be fun, with five full years gone, to see how Bucci did, and try to build a prediction model with the same data he had available. Continue reading